Detecting Corporate Social Media Crises on Facebook Using Social Set Analysis

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    Social media crises pose significant challenges for organizations in terms of their rapid rate of spread and potential persistent negative associations in terms of brand parameters and sustained negative advocacy by internet users and/or consumers. This paper reports on a technique for detecting social media crises using social set analysis-an approach to computational social based on associational sociology and set theory. Based on a conceptual and formal model of social data, we conduct social set analysis of the facebook wall data of four diferent Danish companies. Findings show the voluminous but also transient nature of social media crises and aggregate user behavioural patterns. We discuss the implications of our findings and the application of the crisis detetction technique for analyzing other epiosodic activities such as product promotions, election campaigns.
    Original languageEnglish
    Title of host publicationProceedings of the 2015 IEEE International Congress on BigData
    EditorsCarminati Barbara, Latifur Khan
    Number of pages4
    Place of PublicationLos Alamitos, CA
    Publication date2015
    Article number7207307
    ISBN (Print)9781467372787
    ISBN (Electronic)9781467372787
    Publication statusPublished - 2015
    Event4th IEEE International Congress on Big Data: BigData Congress 2015 - New York, United States
    Duration: 27 Jun 20152 Jul 2015
    Conference number: 4


    Conference4th IEEE International Congress on Big Data
    Country/TerritoryUnited States
    CityNew York
    Internet address

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